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Apresentação

Laboratório de Software Confiável

O HASLab dedica-se à criação e à implementação de sistemas de software confiável, i.e., software correto e resiliente perante falhas e ataques.

De forma a cumprir este grande objetivo, o HASLab opera em três grandes áreas - Cibersegurança, Sistemas Distribuídos e Engenharia de Software.

Engenharia de Software - são explorados métodos, técnicas e ferramentas para o desenvolvimento de software, podendo este ser integrado nas funcionalidades internas de determinados componentes, na sua configuração junto de outros componentes, e também na interação com o utilizador.

Sistemas Distribuídos - com vista a melhorar a confiabilidade e a escalabilidade de software, explorando as propriedades inerentes à distribuição e à replicação de sistemas computacionais.

Cibersegurança - de forma a minimizar a vulnerabilidade dos componentes de software a ataques, com recurso à implementação de estruturas e de protocolos criptográficos com propriedades de segurança formalmente comprovadas.

Através de uma abordagem multidisciplinar que assenta em princípios teóricos comprovados, o HASLab visa disponibilizar soluções - fundamentos teóricos, métodos, linguagens, ferramentas - para o desenvolvimento de sistemas TIC abrangentes, dando garantias aos seus proprietários e utilizadores. Os grandes domínios de aplicação da investigação desenvolvida no HASLab incluem o desenvolvimento de sistemas de software cruciais para garantir a segurança e a proteção, a operacionalização de infraestruturas da nuvem seguras, e a gestão e o tratamento de big data, tendo em conta as questões da privacidade.

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Projetos Selecionados

exaSIMPLE

exaSIMPLE: A Hybrid ML-CFD SIMPLE Algorithm for the Exascale Era

2024-2025

Saude24GB

Linha de Saúde 24h da Guiné-Bissau

2024-2024

EPICURE

High-level specialised application support service in High-Performance Computing (HPC)

2024-2028

TwinEU

Digital Twin for Europe

2024-2026

HANAMI

Hpc AlliaNce for Applications and supercoMputing Innovation: the Europe - Japan collaboration

2024-2026

ENSCOMP3

Ensino de Ciência da Computação nas Escolas 3

2023-2025

AzDIH

Azores Digital Innovation Hub on Tourism and Sustainability

2023-2025

PFAI4_4eD

Programa de Formação Avançada Industria 4 - 4a edição

2023-2023

ATE

Aliança para a Transição Energética

2023-2025

Green_Dat_AI

Energy-efficient AI-ready Data Spaces

2023-2025

EuroCC2

National Competence Centres in the framework of EuroHPC Phase 2

2023-2025

fMP

Formação de Introdução à utilização de recursos HPC (Técnicas básicas de Programação Paralela)

2022-2022

AURORA

Deteção de atividade no interior do veículo

2022-2023

NewSpacePortugal

Agenda New Space Portugal

2022-2025

ATTRACT_DIH

Digital Innovation Hub for Artificial Intelligence and High-Performance Computing

2022-2025

BeFlexible

Boosting engagement to increase flexibility

2022-2026

ENERSHARE

European commoN EneRgy dataSpace framework enabling data sHaring-driven Across- and beyond- eneRgy sErvices

2022-2025

Gridsoft

Parecer sobre a implementação de software para redes elétricas inteligentes

2022-2022

PFAI4_3ed

Programa de Formação Avançada Industria 4 - 3a edição

2022-2022

THEIA

Automated Perception Driving

2022-2023

SpecRep

Constraint-based Specification Repair

2022-2023

IBEX

Métodos quantitativos para a programação ciber-física: Uma abordagem precisa para racicionar sobre imprecisões na computação ciber-física

2022-2024

FLEXCOMM

Towards Energy-aware Communications: Connecting the power grid and communication infrastructure

2022-2023

STDCNCS

Desenvolvimento de estudo sobre a comunidade de cibersegurança em Portugal, no âmbito do Observatório de Cibersegurança

2021-2023

Sustainable HPC

Computação de elevado desempenho sustentável

2021-2025

CircThread

Building the Digital Thread for Circular Economy Product, Resource & Service Management

2021-2025

PassCert

Investigação do Impacto de Verificação Formal na Adopção de Software para Segurança de Passwords

2021-2022

IoT4Distribuicao

Análise de Requisitos e Especificação Funcional de uma Arquitetura Distribuída baseada em soluções IoT para a Gestão e Controlo da Rede de Distribuição

2021-2023

RISC2

A network for supporting the coordination of High-Performance Computing research between Europe and Latin America

2021-2023

CloudAnalytics4Dams

Gestão de Grandes Quantidades de Dados em Barragens da EDP Produção

2021-2021

PAStor

Programmable and Adaptable Storage for AI-oriented HPC Ecosystems

2020-2021

PFAI4.0

Programa de Formação Avançada Industria 4.0

2020-2021

Collaboration

Collaborative Visual Development

2020-2021

AIDA

Adaptive, Intelligent and Distributed Assurance Platform

2020-2023

BigHPC

A Management Framework for Consolidated Big Data and HPC

2020-2023

SLSNA

Prestação de Serviços no ambito do projeto SKORR

2020-2021

AppOwl

Deteção de Mutações Maliciosas no Browser

2020-2021

InterConnect

Interoperable Solutions Connecting Smart Homes, Buildings and Grids

2019-2024

T4CDTKC

Training 4 Cotec, Digital Transformation Knowledge Challenge - Elaboração de Programa de Formação “CONHECER E COMPREENDER O DESAFIO DAS TECNOLOGIAS DE TRANSFORMAÇÃO DIGITAL”

2019-2021

CLOUD4CANDY

Cloud for CANDY

2019-2019

HADES

Sistemas descentralizados confiáveis e escaláveis suportados por hardware

2018-2022

MaLPIS

Aprendizagem Automática para Deteção de Ataques e Identificação de Perfis Segurança na Internet

2018-2022

SKORR

Advancing the Frontier of Social Media Management Tools

2018-2021

DaVinci

Architecturas distribuídas: variabilidade e interação de sistemas ciber-físicos

2018-2022

SAFER

Verificação de segurança para software robótico

2018-2021

KLEE

Modelação coalgébrica e análise para biologia sintética computacional

2018-2021

InteGrid

Demonstration of INTElligent grid technologies for renewables INTEgration and INTEractive consumer participation enabling INTEroperable market solutions and INTErconnected stakeholders

2017-2020

Lightkone

Lightweight Computation for Networks at the Edge

2017-2019

CloudDBAppliance

European Cloud In-Memory Database Appliance with Predictable Performance for Critical Applications

2016-2019

GSL

GreenSoftwareLab: Computação Verde como uma Disciplina de Engenharia

2016-2019

Cloud-Setup

PLATAFORMA DE PREPARAÇÃO DE CONTEÚDOS AUDIOVISUAIS PARA INGEST NA CLOUD

2016-2019

CORAL-TOOLS

CORAL - Sustainable Ocean Exploitation: Tools and Sensors

2016-2018

SafeCloud

Secure and Resilient Cloud Architecture

2015-2018

NanoStima-RL1

NanoSTIMA - Macro-to-Nano Human Sensing Technologies

2015-2019

NanoStima-RL3

NanoSTIMA - Health data infrastructure

2015-2019

SMILES

TEC4Growth - RL SMILES - Smart, Mobile, Intelligent and Large scale Sensing and analytics

2015-2019

UPGRID

Real proven solutions to enable active demand and distributed generation flexible integration, through a fully controllable LOW Voltage and medium voltage distribution grid

2015-2017

LeanBigData

Análise Integrada e Visual de Big Data Ultra-escalável e Ultra-eficiente

2014-2017

Practice

Ferramentas de Preservação de Privacidade na Cloud

2013-2016

CoherentPaaS

PaaS Rica e Coerente com um Modelo de Programação Comum

2013-2016

Equipa
001

Laboratório

CLOUDinha

Publicações

HASLab Publicações

Ler todas as publicações

2019

On interval dynamic logic: Introducing quasi-action lattices

Autores
Santiago, R; Bedregal, B; Madeira, A; Martins, MA;

Publicação
SCIENCE OF COMPUTER PROGRAMMING

Abstract
In this paper we discuss the incompatibility between the notions of validity and impreciseness in the context of Dynamic Logics. To achieve that we consider the Lukasiewicz action lattice and its interval counterpart, we show how some validities fail in the context of intervals. In order to capture the properties of action lattices that remain valid for intervals we propose a new structure called Quasi-action Lattices which generalizes action lattices and is able to model both: The Lukasiewicz action lattice, L, and its interval counterpart, (sic). The notion of graded satisfaction relation is extended to quasi-action lattices. We demonstrate that, in the case of intervals, the relation of graded satisfaction is correct (cf. Theorem 3) with respect to the graded satisfaction relation on the Lukasiewicz action lattice. Although this theorem guarantees that satisfiability is preserved on intervals, we show that validity is not. We propose, then, to weaken the notion of validity on action lattices to designated validity on quasi-action lattices. In this context, Theorem 4 guarantees that the dynamic formula which are valid with respect to L will be designated valid with respect to (sic).

2019

Epistemic Logics with Structured Knowledge

Autores
Madeira, A; Martins, MA; Benevides, MRF;

Publicação
ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE

Abstract
Multi-agent Dynamic Epistemic Logic, as a suitable modal logic to reason about knowledge evolving systems, has emerged in a number of contexts and scenarios. The agents knowledge in this logic is simply characterised by valuations of propositions. This paper discusses the adoption of other richer structures to make these representations, as graphs, algebras or even epistemic models. This method of building epistemic logics over richer structures is called "Epistemisation". On this view a parametric method to build such Epistemic Logics with Public Announcements is introduced. Moreover, a parametric notion of bisimulation is presented, and the modal invariance of the proposed logics, with respect to this relation, are proved. Some interesting application horizons opened with this construction are stated.

2019

A Hybrid Dynamic Logic for Event/Data-Based Systems

Autores
Hennicker, R; Madeira, A; Knapp, A;

Publicação
Fundamental Approaches to Software Engineering - 22nd International Conference, FASE 2019, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019, Prague, Czech Republic, April 6-11, 2019, Proceedings

Abstract
We propose (formula presented) -logic as a formal foundation for the specification and development of event-based systems with local data states. The logic is intended to cover a broad range of abstraction levels from abstract requirements specifications up to constructive specifications. Our logic uses diamond and box modalities over structured actions adopted from dynamic logic. Atomic actions are pairs where e is an event and (formula presented) a state transition predicate capturing the allowed reactions to the event. To write concrete specifications of recursive process structures we integrate (control) state variables and binders of hybrid logic. The semantic interpretation relies on event/data transition systems; specification refinement is defined by model class inclusion. For the presentation of constructive specifications we propose operational event/data specifications allowing for familiar, diagrammatic representations by state transition graphs. We show that (formula presented) -logic is powerful enough to characterise the semantics of an operational specification by a single (formula presented) -sentence. Thus the whole development process can rely on (formula presented) -logic and its semantics as a common basis. This includes also a variety of implementation constructors to support, among others, event refinement and parallel composition. © The Author(s) 2019.

2019

A Hybrid Dynamic Logic for Event/Data-based Systems

Autores
Hennicker, R; Madeira, A; Knapp, A;

Publicação
CoRR

Abstract

2019

d'Artagnan: A Trusted NoSQL Database on Untrusted Clouds

Autores
Pontes, R; Maia, F; Vilaça, R; Machado, N;

Publicação
38th Symposium on Reliable Distributed Systems, SRDS 2019, Lyon, France, October 1-4, 2019

Abstract
Privacy sensitive applications that store confidential information such as personal identifiable data or medical records have strict security concerns. These concerns hinder the adoption of the cloud. With cloud providers under the constant threat of malicious attacks, a single successful breach is sufficient to exploit any valuable information and disclose sensitive data. Existing privacy-aware databases mitigate some of these concerns, but sill leak critical information that can potently compromise the entire system's security. This paper proposes d'Artagnan, the first privacy-aware multi-cloud NoSQL database framework that renders database leaks worthless. The framework stores data as encrypted secrets in multiple clouds such that i) a single data breach cannot break the database's confidentiality and ii) queries are processed on the server-side without leaking any sensitive information. d'Artagnan is evaluated with industry-standard benchmark on market-leading cloud providers. © 2019 IEEE.

Factos & Números

1Contratados de I&D

2020

21Investigadores Séniores

2016

4Artigos em revistas indexadas

2020

Contactos